A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction

Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection

(2022) Mehdi Jamei et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Air quality forecasting with hybrid LSTM and extended stationary wavelet transform

(2022) Yongkang Zeng et al.   BUILDING AND ENVIRONMENT

Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction

(2022) Chu Zhang et al.   RENEWABLE ENERGY

Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network

(2021) Jianzhou Wang et al.   ENVIRONMENTAL POLLUTION

Air Pollutant Analysis and AQI Prediction Based on GRA and Improved SOA-SVR by Considering COVID-19

(2021) Ting Xu et al.   Atmosphere

An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting

(2021) Tian Peng et al.   ENERGY

SHADE–WOA: A metaheuristic algorithm for global optimization

(2021) Sanjoy Chakraborty et al.   APPLIED SOFT COMPUTING

Predicting polycyclic aromatic hydrocarbons in surface water by a multiscale feature extraction-based deep learning approach

(2021) Liang Dong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An enhanced version of Harris Hawks Optimization by dimension learning-based hunting for Breast Cancer Detection

(2021) Navneet Kaur et al.   Scientific Reports

A novel dual-scale ensemble learning paradigm with error correction for predicting daily ozone concentration based on multi-decomposition process and intelligent algorithm optimization, and its application in heavily polluted regions of China

(2021) Jianguo Zhou et al.   Atmospheric Pollution Research

Developing a geospatial framework for coupled large scale thermal comfort and air quality indices using high resolution gridded meteorological and station based observations

(2021) Md Golam Rabbani Fahad et al.   Sustainable Cities and Society

A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting

(2021) Chu Zhang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A chaotic strategy-based quadratic Opposition-Based Learning adaptive variable-speed whale optimization algorithm

(2021) Maodong Li et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

An LSTM-based aggregated model for air pollution forecasting

(2020) Yue-Shan Chang et al.   Atmospheric Pollution Research

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting

(2020) Pei Du et al.   APPLIED SOFT COMPUTING

A Machine Learning Approach to Predict Air Quality in California

(2020) Mauro Castelli et al.   COMPLEXITY

Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting

(2020) Tian Peng et al.   RENEWABLE ENERGY

Predictive analysis of the air quality indicators in the Yangtze River Delta in China: An application of a novel seasonal grey model

(2020) Weijie Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An improved grey wolf optimizer for solving engineering problems

(2020) Mohammad H. Nadimi-Shahraki et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel optimal-hybrid model for daily air quality index prediction considering air pollutant factors

(2019) Qunli Wu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network

(2019) Qunli Wu et al.   Sustainable Cities and Society

An innovative hybrid model based on outlier detection and correction algorithm and heuristic intelligent optimization algorithm for daily air quality index forecasting

(2019) Jianzhou Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A prediction approach using ensemble empirical mode decomposition‐permutation entropy and regularized extreme learning machine for short‐term wind speed

(2019) Zhongda Tian et al.   WIND ENERGY

Predicting monthly biofuel production using a hybrid ensemble forecasting methodology

(2019) Lean Yu et al.   INTERNATIONAL JOURNAL OF FORECASTING

An adaptive dynamic short-term wind speed forecasting model using secondary decomposition and an improved regularized extreme learning machine

(2018) Na Sun et al.   ENERGY

Daily air quality index forecasting with hybrid models: A case in China

(2017) Suling Zhu et al.   ENVIRONMENTAL POLLUTION

A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine

(2017) Deyun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Wind speed forecasting using FEEMD echo state networks with RELM in Hebei, China

(2016) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT